Usage
gprofiler(query, organism="hsapiens", ordered_query=F, significant=T,
exclude_iea=F, region_query=F, max_p_value=1, max_set_size=0,
correction_method="analytical", hier_filtering="none",
domain_size="annotated", custom_bg="", numeric_ns="", no_isects=F,
png_fn, include_graph=F, src_filter)Arguments
query
vector of gene IDs or a list of such vectors.
ordered_query
in case output gene lists are ranked this option may be
used to get GSEA style p-values.
significant
whether all or only statistically significant results should
be returned.
exclude_iea
exclude electronic annotations (IEA).
region_query
interpret query as chromosomal ranges.
max_p_value
custom p-value threshold, results with a larger p-value are
excluded.
max_set_size
maximum size of functional category, larger categories are
excluded.
correction_method
the algorithm used for determining the significance
threshold, one of "gSCS", "fdr", "bonferroni".
hier_filtering
hierarchical filtering strength, one of "none",
"moderate", "strong".
domain_size
statistical domain size, one of "annotated", "known".
custom_bg
vector of gene names to use as a statistical background.
numeric_ns
namespace to use for fully numeric IDs.
no_isects
do not return intersections between query and term, significantly
faster for large queries.
png_fn
request the result as PNG image and write it to png_fn.
include_graph
request inclusion of network data with the result.
src_filter
a vector of data sources to use. Currently, these include
GO (GO:BP, GO:MF, GO:CC to select a particular GO branch), KEGG, REAC, TF,
MI, CORUM, HP. Please see the g:GOSt web tool for the comprehensive list
and details on incorporated data sources.